{"id":{"repo_id":"buffalo","oai_identifier":"oai:ubir.buffalo.edu:10477/84072"},"canonical_url":"https://search.dev.ndltd.org/etd/buffalo/oai:ubir.buffalo.edu:10477/84072","repository":{"repo_id":"buffalo","name":"Buffalo","base_url":"https://ubir.buffalo.edu/oai/request"},"display":{"title":"Resident Space Object Characterization Using Polarized and Multispectral Light Curves","abstract":"Ph.D.","abstract_html":"Ph.D.","abstract_has_math":false,"creators":["Dianetti, Andrew; 0000-0002-6477-4086"],"institution":"State University of New York at Buffalo","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["Crassidis, John","Mechanical and Aerospace Engineering"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2022,"date_issued":"2022-06-21T15:47:38Z","date_published":"2022-06-21T15:47:38Z","updated_at":"2026-07-27T19:05:30Z","subjects":["aerospace engineering"],"languages":["eng"],"rights":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/10477/84072","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Crassidis, John","Mechanical and Aerospace Engineering"]},{"key":"dc:creator","label":"Author","values":["Dianetti, Andrew; 0000-0002-6477-4086"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2022-06-21T15:47:38Z","2020"]},{"key":"dc:publisher","label":"Institution","values":["State University of New York at Buffalo"]},{"key":"dc:type","label":"Dc Type","values":["Text","Dissertation"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["aerospace engineering"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/10477/84072"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Ph.D.","As the number of objects in space grows, and the space environment becomes more contested, Space Situational Awareness (SSA) becomes an increasingly important task. Increasing the accuracy in orbit propagation, which is necessary to increase the accuracy of collision probability estimates, requires modeling the impact of non-conservative perturbations, such as drag and solar radiation pressure, on complex shapes. Knowledge of a resident space object's attitude and surface material can allow for more accurate orbit propagation. However, this attitude and surface information is often difficult to determine remotely. Light curves have previously been demonstrated to allow for estimation of an object's attitude, shape, and surface parameters. However, these methods are subject to many limitations, including the need for accurate initial attitude estimates to initialize filters, and the inability to regularly estimate attitude and surface parameters simultaneously due to information dilution. Monochromatic, unpolarized light curves also can only allow for surface reflectance parameter determination, and not determination of surface materials themselves.","**To request an accessible version of the file(s) associated with this item, contact library@buffalo.edu. Please include the item's persistent URL [http://hdl.handle.net/. . .] in your request.**"]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Resident Space Object Characterization Using Polarized and Multispectral Light Curves"]}]}],"canonical_facts":{"dc:contributor":["Crassidis, John","Mechanical and Aerospace Engineering"],"dc:creator":["Dianetti, Andrew; 0000-0002-6477-4086"],"dc:date":["2022-06-21T15:47:38Z","2020"],"dc:description":["Ph.D.","As the number of objects in space grows, and the space environment becomes more contested, Space Situational Awareness (SSA) becomes an increasingly important task. Increasing the accuracy in orbit propagation, which is necessary to increase the accuracy of collision probability estimates, requires modeling the impact of non-conservative perturbations, such as drag and solar radiation pressure, on complex shapes. Knowledge of a resident space object's attitude and surface material can allow for more accurate orbit propagation. However, this attitude and surface information is often difficult to determine remotely. Light curves have previously been demonstrated to allow for estimation of an object's attitude, shape, and surface parameters. However, these methods are subject to many limitations, including the need for accurate initial attitude estimates to initialize filters, and the inability to regularly estimate attitude and surface parameters simultaneously due to information dilution. Monochromatic, unpolarized light curves also can only allow for surface reflectance parameter determination, and not determination of surface materials themselves.","**To request an accessible version of the file(s) associated with this item, contact library@buffalo.edu. Please include the item's persistent URL [http://hdl.handle.net/. . .] in your request.**"],"dc:format":["application/pdf"],"dc:identifier":["http://hdl.handle.net/10477/84072"],"dc:language":["eng"],"dc:publisher":["State University of New York at Buffalo"],"dc:rights":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."],"dc:subject":["aerospace engineering"],"dc:title":["Resident Space Object Characterization Using Polarized and Multispectral Light Curves"],"dc:type":["Text","Dissertation"]},"updated_at":"2026-07-27T19:05:30Z"}